Meta Lab

C 65 completed
Other
web_app / yaml · tiny
37
Files
4,052
LOC
2
Frameworks
6
Languages

Pipeline State

completed
Run ID
#1543875
Phase
done
Progress
0%
Started
2026-04-16 22:18:21
Finished
2026-04-16 22:18:21
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
32.51
Framework unique
Isolation
Last stage change
2026-05-10 03:35:38
Deduplication group #48460
Member of a group with 116 similar repo(s) · framework reactcanonical #1592335 view group →
Repobility — the code-quality scanner for AI-generated software · https://repobility.com

AI Prompt

Create a web application prototype called "META Lab" that functions as an AI UX experiment repository. I need the structure to support multiple, constrained AI conversation environments, like a "growth-talk" or a "spanish-tutor." The core functionality should involve streaming responses from the Claude API via a Next.js API route. The frontend should use React and Tailwind CSS, and I need to implement the routing structure for the main hub and individual experiment sessions. Please ensure the setup uses TypeScript and leverages the App Router structure.
next.js react typescript tailwind-css anthropic-ai ai-experiment web-app streaming
Generated by gemma4:latest

Catalog Information

Create a web application prototype called "META Lab" that functions as an AI UX experiment repository. I need the structure to support multiple, constrained AI conversation environments, like a "growth-talk" or a "spanish-tutor." The core functionality should involve streaming responses from the Claude API via a Next.js API route. The frontend should use React and Tailwind CSS, and I need to implement the routing structure for the main hub and individual experiment sessions. Please ensure the se

Tags

next.js react typescript tailwind-css anthropic-ai ai-experiment web-app streaming

Quality Score

C
65.0/100
Structure
52
Code Quality
100
Documentation
50
Testing
0
Practices
80
Security
100
Dependencies
90

Strengths

  • Code linting configured (eslint)
  • Low average code complexity — well-structured code
  • Good security practices — no major issues detected

Weaknesses

  • No LICENSE file — legal ambiguity for contributors
  • No tests found — high risk of regressions
  • No CI/CD configuration — manual testing and deployment

Recommendations

  • Add a test suite — start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a LICENSE file (MIT recommended for open source)

Languages

yaml
67.7%
typescript
21.3%
markdown
6.8%
css
2.2%
json
1.5%
javascript
0.5%

Frameworks

React Next.js

Symbols

variable41
function22
interface9
constant5
type_alias2

Quality Timeline

1 quality score recorded.

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